发明名称 Methods and apparatus for capturing, processing, training, and detecting patterns using pattern recognition classifiers
摘要 A system, methods, and apparatus for generating pattern recognition classifiers are disclosed. An example method includes identifying graphical objects within an image of a card object, for each identified graphical object: i) creating a bounding region encompassing the graphical object such that a border of the bounding region is located at a predetermined distance from segments of the graphical object, ii) determining pixels within the bounding region that correspond to the graphical object, iii) determining an origin of the graphical object based on an origin rule, iv) determining a text coordinate relative to the origin for each determined pixel, and v) determining a statistical probability that features are present within the graphical object, each of the features including at least one pixel having text coordinates and for each graphical object type, combining the statistical probabilities for each of the features of the identified graphical objects into a classifier data structure.
申请公布号 US9152860(B2) 申请公布日期 2015.10.06
申请号 US201313910637 申请日期 2013.06.05
申请人 Tantrum Street LLC 发明人 Cervin William Bennett;Leverington Alexander Scott;Craft Kevin Michael
分类号 G06K9/00;G06K9/66 主分类号 G06K9/00
代理机构 Norton Rose Fulbright US LLP 代理人 Norton Rose Fulbright US LLP
主权项 1. A method to generate graphical object classifier data structures comprising: identifying graphical objects within an image recorded by a camera; for each identified graphical object within the image: i) creating a bounding region encompassing the graphical object such that a border of the bounding region is located at a predetermined distance from segments of the graphical object;ii) determining pixels within the bounding region that correspond to the graphical object;iii) determining an origin of the graphical object based on at least one origin rule;iv) determining a text coordinate relative to the origin for each determined pixel; andv) determining a statistical probability that features are present within the graphical object, each of the features including at least one pixel having text coordinates; and for each graphical object type, combining the statistical probabilities for each of the features of the identified graphical objects into a classifier data structure.
地址 Dallas TX US